datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SWE-smith-mini_swe_agent_plus-trajectories-66k
Dataset: SWE-smith-mini_swe_agent_plus-trajectories-66k
A corpus of ~66k issue-solving trajectories collected with mini-swe-agent-plus on issues derived from SWE-smith. Each trajectory records the agent’s end-to-end process.
We training the Qwen3-8B model on different sizes of the training data. The results are shown in the figure, it could be observed that the solve rate on SWE-bench Verified improves approximately linearly with the logarithm of the data scale (1k → 66k… See the full description on the dataset page: https://huggingface.co/datasets/Kwai-Klear/SWE-smith-mini_swe_agent_plus-trajectories-66k.minisweagent_imgsqwen3-30b-a3b-instruct-2507-swebench-verified-mini-swe-agent
SWE-bench Verified — Qwen3-30B-A3B-Instruct-2507 rollouts with mini-swe-agent (T=0)
End-to-end agent rollouts and grading on SWE-bench Verified (test split, 500 instances) for Qwen/Qwen3-30B-A3B-Instruct-2507, using mini-swe-agent as the scaffold.
Headline result
Pass@1: 44 / 500 = 8.8%
Category
Count
Resolved
44
Unresolved (patch applied, tests failed)
119
Empty patch (LimitsExceeded)
284
Patch failed to apply
53
Pass rate among applied patches
27%… See the full description on the dataset page: https://huggingface.co/datasets/tarsur385/qwen3-30b-a3b-instruct-2507-swebench-verified-mini-swe-agent.qwen9b-coop-mini-swe-agent
qwen9b-coop-mini-swe-agent
Two-agent cooperative coding trajectories generated by running
CooperBench in coop mode on
the CooperData task set, using
Qwen/Qwen3.5-9B as the model and mini_swe_agent_v2 as the agent framework.
Each pair runs two agents in parallel — one per feature — coordinating via Redis messaging and a shared git remote.
The matched solo version is at
CooperBench/qwen9b-solo-mini-swe-agent.
Same task corpus, same model, same agent — only the coordination differs… See the full description on the dataset page: https://huggingface.co/datasets/CooperBench/qwen9b-coop-mini-swe-agent.wingdings-terminal-bench-2.0-mini-swe-agent-Qwen3-Next-80B-A3B-Instruct-20260220
wingdings-terminal-bench-2.0-mini-swe-agent-Qwen3-Next-80B-A3B-Instruct-20260220
Harbor evaluation on terminal-bench@2.0: 0/1 resolved (0.0%), 0 errors
Dataset Info
Rows: 1
Columns: 26
Columns
Column
Type
Description
instance_id
Value('string')
Task identifier (e.g. astropy__astropy-12907)
reward
Value('float64')
Verifier reward (e.g. 0.0 or 1.0)
resolved
Value('bool')
Whether the task was resolved (reward > 0)
agent
Value('string')
Agent… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/wingdings-terminal-bench-2.0-mini-swe-agent-Qwen3-Next-80B-A3B-Instruct-20260220.qwen9b-solo-mini-swe-agent
qwen9b-solo-mini-swe-agent
Single-agent coding trajectories generated by running
CooperBench in solo mode on
the CooperData task set, using
Qwen/Qwen3.5-9B as the model and mini_swe_agent_v2 as the agent framework.
One agent implements both features in each task.
The matched coop version is at
CooperBench/qwen9b-coop-mini-swe-agent.
Same task corpus, same model, same agent — only the coordination differs, so
together they isolate the cooperation deficit.
At a glance… See the full description on the dataset page: https://huggingface.co/datasets/CooperBench/qwen9b-solo-mini-swe-agent.swebench-verified-mini-swe-agent-gpt41mini-test
swebench-verified-mini-swe-agent-gpt41mini-test
Harbor evaluation on swebench-verified@1.0: 0/1 resolved (0.0%), 0 errors
Dataset Info
Rows: 1
Columns: 25
Columns
Column
Type
Description
instance_id
Value('string')
Task identifier (e.g. astropy__astropy-12907)
reward
Value('float64')
Verifier reward (e.g. 0.0 or 1.0)
resolved
Value('bool')
Whether the task was resolved (reward > 0)
agent
Value('string')
Agent name used for this trial
model… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/swebench-verified-mini-swe-agent-gpt41mini-test.wingdings-swebench-verified-1.0-mini-swe-agent-Qwen3-Next-80B-A3B-Instruct-20260222
wingdings-swebench-verified-1.0-mini-swe-agent-Qwen3-Next-80B-A3B-Instruct-20260222
Harbor evaluation on swebench-verified@1.0: 3/10 resolved (30.0%), 0 errors
Dataset Info
Rows: 10
Columns: 26
Columns
Column
Type
Description
instance_id
Value('string')
Task identifier (e.g. astropy__astropy-12907)
reward
Value('float64')
Verifier reward (e.g. 0.0 or 1.0)
resolved
Value('bool')
Whether the task was resolved (reward > 0)
agent
Value('string')… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/wingdings-swebench-verified-1.0-mini-swe-agent-Qwen3-Next-80B-A3B-Instruct-20260222.20260429_kozuchi-mini-swe-agent_qwen3.5-27bwingdings-swebench-verified-1.0-mini-swe-agent-Qwen3-Next-80B-A3B-Thinking-20260223
wingdings-swebench-verified-1.0-mini-swe-agent-Qwen3-Next-80B-A3B-Thinking-20260223
Harbor evaluation on swebench-verified@1.0: 1/10 resolved (10.0%), 8 errors
Dataset Info
Rows: 10
Columns: 26
Columns
Column
Type
Description
instance_id
Value('string')
Task identifier (e.g. astropy__astropy-12907)
reward
Value('float64')
Verifier reward (e.g. 0.0 or 1.0)
resolved
Value('bool')
Whether the task was resolved (reward > 0)
agent
Value('string')… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/wingdings-swebench-verified-1.0-mini-swe-agent-Qwen3-Next-80B-A3B-Thinking-20260223.mirror-SWE-smith-mini_swe_agent_plus-trajectories-66k
Dataset: SWE-smith-mini_swe_agent_plus-trajectories-66k
A corpus of ~66k issue-solving trajectories collected with mini-swe-agent-plus on issues derived from SWE-smith. Each trajectory records the agent’s end-to-end process.
We training the Qwen3-8B model on different sizes of the training data. The results are shown in the figure, it could be observed that the solve rate on SWE-bench Verified improves approximately linearly with the logarithm of the data scale (1k →… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-SWE-smith-mini_swe_agent_plus-trajectories-66k.